• 국제학술발표논문집
• /
• The 9th International Conference on Construction Engineering and Project Management
• /
• pp.304-311
• /
• 2022

Construction inspection is a crucial stage that ensures that all contractual requirements of a construction project are verified. The construction inspection capabilities among state highway agencies have been greatly affected due to budget reduction. As a result, efficient inspection practices such as risk-based inspection are required to optimize the use of limited resources without compromising inspection quality. Automated prioritization of textual requirements according to their criticality would be extremely helpful since contractual requirements are typically presented in an unstructured natural language in voluminous text documents. The current study introduces a novel model for predicting the risk level of requirements using machine learning (ML) algorithms. The ML algorithms tested in this study included naïve Bayes, support vector machines, logistic regression, and random forest. The training data includes sequences of requirement texts which were labeled with risk levels (such as very low, low, medium, high, very high) using the fuzzy logic systems. The fuzzy model treats the three risk factors (severity, probability, detectability) as fuzzy input variables, and implements the fuzzy inference rules to determine the labels of requirements. The performance of the model was examined on labeled dataset created by fuzzy inference rules and three different membership functions. The developed requirement risk prediction model yielded a precision, recall, and f-score of 78.18%, 77.75%, and 75.82%, respectively. The proposed model is expected to provide construction inspectors with a means for the automated prioritization of voluminous requirements by their importance, thus help to maximize the effectiveness of inspection activities under resource constraints.

• 대한토목학회논문집
• /
• 제37권3호
• /
• pp.585-592
• /
• 2017

도심 내 매설된 대다수의 하수관로는 노후가 심각하게 진행되어 파손의 가능성이 높다. 또한, 도시개발의 집중도가 높아 인구밀도나 통행량이 많으므로 하수관로가 붕괴되면 사회 경제적으로 막대한 피해를 입게 된다. 따라서 관로 파손에 의한 사고를 예방하기 위해 사전적인 유지관리가 필요하며, 한정된 재원의 효율적인 활용을 위해 파손의 가능성과 피해의 규모를 동시에 고려한 위험도 기반의 우선순위 결정방안이 제시되어야 한다. 본 연구에서는, 다양한 해외 연구사례를 검토하여 위험도 기반의 하수관로의 조사 우선순위 결정 방법을 도출하였고 도심지 배수분구에 적용 검토하였다. 우선, 서울시 하수관로 GIS DB를 통해 확보 가능한 영향인자를 도출하고, 각 영향인자들의 가중치, 구분항목, 영향점수를 결정하여 가중치 환산법으로 하수관로 파손결과를 산정하였다. 또한, 하수관로의 예상 내용연수 대비 사용연수를 계산하여 파손가능성을 도출하였으며, 내츄럴 브레이크 방법으로 파손결과와 파손가능성을 5등급으로 구분하였다. 위 방법을 서울시 내 위치한 소규모 배수분구에 적용하여 위험도 매트릭스와 위험도 등급을 도출하였으며, 그 결과 전체 대상의 26%가 위험도 4-5등급인 CCTV조사 우선대상으로 선정되었다. 따라서 위험도 기반의 CCTV 우선순위 결정방법을 활용하여 조사가 우선적으로 필요한 대상을 체계적으로 결정할 수 있을 것이다.

• 한국압력기기공학회 논문집
• /
• 제12권1호
• /
• pp.17-22
• /
• 2016

Alloy 600 widely used in nuclear power plant is susceptible to primary water stress corrosion cracking (PWSCC). It is important to prioritize the inspection of Alloy 600 components using PWSCC susceptibility index. Plant-specific model for the susceptibility index was reviewed. The normalized PWSCC susceptibility index to a reference value is suggested and applied. The result was found to be reasonable.

• 한국신뢰성학회지:신뢰성응용연구
• /
• 제10권2호
• /
• pp.123-135
• /
• 2010

Failure mode and effects analysis (FMEA) is a widely used technique to assess or to improve reliability of products or processes at early stage of development. Traditionally, the prioritization of failures for corrective actions is performed by evaluating risk priority numbers (RPN). In practice, due to insufficient evaluation criteria specific to related products and processes, RPN is not always evaluated properly. This paper reestablishes an effective methodology for prioritization of failure modes in FMEA procedure. Revised evaluation criteria of RPN are devised and a refined FMEA sheet is introduced. To verify the proposed methodology, it is applied to inspection processes of PCB products.

• 대한기계학회:학술대회논문집
• /
• 대한기계학회 2003년도 춘계학술대회
• /
• pp.598-603
• /
• 2003

During the last ten years, the need has been increased for reducing maintenance cost for aged equipments and ensuring safety, efficiency and profitability of petrochemical and refinery plants. RBI (Risk Based Inspection) methodology is one of the most promising technologies satisfying the need in the field of integrity management. In this study, a user-friendly software, realRBI for RBI based on the API 581 code was developed and a quantitative analysis was performed for over 500 equipments in a domestic plant whose operating time reaches about 13 years. Current risks for each equipment parts were evaluated and risk based prioritization were determined as a conclusion.

• 대한토목학회논문집
• /
• 제26권2B호
• /
• pp.187-195
• /
• 2006

본 연구에서는 세굴에 의한 교량기초의 위험도를 평가하고 효율적인 방재 대책수립을 위해 국내 세굴 특성을 고려한 교량 세굴 유지관리 시스템을 개발하였다. 본 시스템은 GIS 기반 프로그램으로서 교량세굴 자료의 저장, 검색 및 출력이 가능하며, 크게 교량세굴 위험도에 따른 우선순위의 결정 및 유지관리 시스템의 두 부분으로 나뉜다. 교량에 대한 기존의 간단한 자료를 이용하여 초기 분류과정을 거쳐 현장 상세조사 우선순위가 결정되며, 이에 따라 현장 상세조사와 세굴 해석을 실시하여 교량세굴 위험도 등급을 결정한다. 위험도 등급은 예상 세굴심과 그에 따른 기초의 지지력 변화, 기초의 종류 및 근입깊이, 현재의 세굴 진행상태 등을 고려하여 모두 6등급으로 나뉘며 그 결과는 화면상에 표시되고 모든 자료는 데이터베이스 시스템에 저장되어 관리된다.

• 대한기계학회논문집A
• /
• 제27권3호
• /
• pp.416-423
• /
• 2003

During the last ten years, the need has been increased for reducing maintenance cost for aged equipments and ensuring safety, efficiency and profitability of petrochemical and refinery plants. RBI (Risk Based Inspection) methodology is one of the most promising technologies satisfying the need in the field of integrity management. In this study, a user-friendly software, realRBl for RBI based on the API 581 code was developed. This software has modules for evaluating qualitative and semi-quantitative risk level, analyzing quantitative risks using the potential consequences of a failure of the pressure boundary, and assessing the likelihood of failure. A quantitative analysis was performed for 16 columns in a domestic NCC (Naphtha Cracking Center) plant whose operating time reaches about 12 years. Each column was considered as two equipment parts by dividing into top and bottom. Generic column failure frequencies were adjusted based on likelihood data. After determining release rate, release duration and release mass for each failure scenario, flammable/explosive and toxic consequences were assessed. Current risks for 32 equipment parts were evaluated and risk based prioritization were determined as a final result.

• 한국ITS학회 논문지
• /
• 제16권3호
• /
• pp.1-14
• /
• 2017

최근 자동차 산업은 자율주행자동차로 인해 빠르게 변화하고 있고 관련된 연구 또한 활발하게 진행되고 있다. 하지만 자율주행자동차의 기술에 관한 연구가 대부분이며, 도로교통 안전과 관련한 변화 예측과 개선방안에 대한 연구는 부족한 실정이다. 본 연구는 자율주행자동차의 도입에 따른 사업용 차량 도로교통 안전사업의 개선방안 제시와 우선순위 도출을 목적으로 수행하였다. 자율주행자동차 전문가를 대상으로 한 설문조사 결과와 AHP를 이용하여 분석한 결과 교통수단안전점검 법령 개정, 자율주행자동차 운전자 및 운영자 등에 대한 교육제도 개발 등이 가장 우선시 되어야 할 것으로 분석되었다.

• 대한토목학회논문집
• /
• 제42권6호
• /
• pp.843-852
• /
• 2022

지속적인 안전관리에도 불구하고 매년 건설업 근로자 사망율은 줄어들지 않는 추세다. 이에 따라 건설현장 사고를 예방하기 위한 다양한 연구가 진행 중이다. 본 논문에서는 건설공사 비용 50억원 미만의 건설현장 중 건설사고가 발생할 것으로 예상되는 현장을 우선적으로 선별하는 AI기반 우선점검대상 선정 모델을 개발하였다. 특히, 적용한 AI 알고리즘 중 분류분석에서 가장 뛰어난 성능(사고발생예측 AUC-ROC 90.48 %)을 보인 랜덤 포레스트를 모델 개발에 활용하였으며, 건설사고를 유발하는 주요한 요인으로는 공사비, 총공사일수, 공사실적평가액이 확인되었다. 본 연구를 통해 점검인력 효율화와 건설사고에 대한 선제적 대응의 결과로 8년간 약 917.7 % ROI(투자수익률)를 기대할 수 있다.

• Corrosion Science and Technology
• /
• 제14권1호
• /
• pp.1-11
• /
• 2015

Local wall thinning and integrity degradation caused by several mechanisms, such as flow accelerated corrosion (FAC), cavitation, flashing and/or liquid drop impingements, are a main concern in carbon steel piping systems of nuclear power plant in terms of safety and operability. Thinned pipe management program (TPMP) had been developed and optimized to reduce the possibility of unplanned shutdown and/or power reduction due to pipe failure caused by wall thinning in the secondary side piping system. This program also consists of several technical elements such as prediction of wear rate for each component, prioritization of components for inspection, thickness measurement, calculation of actual wear and wear rate for each component. Decision making is associated with replacement or continuous service for thinned pipe components. Establishment of long-term strategy based on diagnosis of plant condition regarding overall wall thinning is also essential part of the program. Prediction models of wall thinning caused by FAC had been established for 24 operating nuclear plants. Long term strategies to manage the thinned pipe component were prepared and applied to each unit, which was reflecting plant specific design, operation, and inspection history, so that the structural integrity of piping system can be maintained. An alternative integrity assessment criterion and a computer program for thinned piping items were developed for the first time in the world, which was directly applicable to the secondary piping system of nuclear power plant. The thinned pipe management program is applied to all domestic nuclear power plants as a standard procedure form so that it contributes to preventing an accident caused by FAC.